One of the most common reasons digital transformation programs underperform is that organizations attempt to manage fundamentally different types of change through a single operating model. Incremental improvements to existing products and processes compete for the same funding, governance, leadership attention, and delivery mechanisms as disruptive initiatives intended to create entirely new sources of value.
The result is predictable. Short-term operational priorities crowd out long-term innovation, while disruptive initiatives are constrained by governance processes designed for business-as-usual delivery. Organizations become highly effective at optimizing the present but struggle to prepare for the future.
Leading organizations address this challenge through a dual operating model, one that deliberately separates incremental digital transformation from long-term digital disruption initiatives, while ensuring both remain aligned with enterprise strategy and portfolio governance.
This approach recognizes that optimizing the existing business and reinventing it require different objectives, capabilities, funding models, risk tolerances, success metrics, and leadership behaviors.
The challenge for executives is therefore not choosing between the two. It is designing an organization capable of executing both simultaneously.
Two fundamentally different transformation agendas
Digital transformation encompasses two distinct categories of work.
The first focuses on incremental improvement of business-as-usual operations. These initiatives enhance efficiency, customer experience, compliance, or productivity by digitizing and optimizing existing processes. Typical examples include workflow automation, AI-assisted customer service, ERP modernization, CRM enhancements, robotic process automation, or data-driven reporting.
Their objective is to make today's organization perform better.
The second focuses on digital disruption and business model innovation. These initiatives explore entirely new products, services, revenue streams, ecosystems, or operating models that may redefine the organization’s future position in the market. Examples include AI-native products, platform businesses, subscription models, digital marketplaces, autonomous services, or circular economy business models.
Their objective is to ensure the organization remains relevant tomorrow.
Although both involve digital technologies, they differ fundamentally in purpose and therefore require different management approaches.
Why one operating model is insufficient
Traditional governance mechanisms are designed to reduce uncertainty. Business cases require predictable returns, budgets are allocated annually, and delivery is measured against predefined milestones.
This approach works well for incremental initiatives where requirements and outcomes can largely be estimated in advance.
Disruptive innovation operates differently. Market demand may be uncertain, customer needs may still be emerging, and technology capabilities evolve continuously. Progress depends on experimentation, learning, iteration, and rapid adaptation.
Applying business-as-usual governance to disruptive initiatives often results in excessive control, delayed decision-making, premature termination of promising concepts, or pressure to demonstrate short-term returns before value propositions have matured.
Conversely, applying startup-style governance to operational improvements can introduce unnecessary risk and reduce execution discipline.
The conclusion is straightforward: different types of transformation require different operating models.
The dual operating model
A dual operating model creates two complementary but interconnected transformation streams.
Stream One: Business Acceleration
The first stream focuses on improving the current business through incremental innovation and digital enablement.
Its characteristics include:
- predictable business cases and ROI
- annual budgeting cycles
- operational KPIs and efficiency targets
- standardized project governance
- lower risk tolerance
- delivery through existing functional structures
Success is measured by productivity gains, customer satisfaction improvements, cost reduction, compliance, and operational excellence.
Stream Two: Business Reinvention
The second stream focuses on creating future sources of competitive advantage through disruptive innovation.
Its characteristics include:
- experimentation and discovery
- venture-style funding
- iterative validation
- multidisciplinary teams
- higher risk tolerance
- adaptive governance
- portfolio-based investment decisions
Success is measured through validated learning, customer adoption, strategic positioning, scalability, and long-term enterprise value rather than immediate financial return.
Governance must match the ambition
Perhaps the greatest advantage of the dual operating model is that governance becomes fit for purpose.
Incremental initiatives benefit from structured planning, risk controls, and predictable execution.
Disruptive initiatives require governance that emphasizes learning velocity, hypothesis testing, rapid experimentation, and milestone-based investment.
Instead of asking, “Did the project deliver exactly as planned?” leaders ask, “What have we learned, and should we scale, pivot, or stop?”
This shift reduces innovation theatre while improving capital allocation.
Leadership responsibilities change
A dual operating model requires leaders to embrace two complementary mindsets.
As operators, executives ensure stability, reliability, and performance across existing businesses.
As architects of the future, they create space for experimentation, protect long-term investments from short-term pressures, and actively challenge assumptions about markets, customers, and business models.
Successful leaders understand that the future business cannot be governed exclusively through the logic of the current business.
Benefits of a dual operating model
Organizations adopting a dual operating model realize several advantages.
They improve operational performance without sacrificing long-term innovation. Resource allocation becomes more transparent because optimization and exploration no longer compete directly for identical evaluation criteria.
Innovation portfolios become easier to govern because disruptive initiatives are measured by learning and strategic progress rather than immediate profitability.
Business units remain focused on serving existing customers while dedicated transformation teams explore emerging opportunities.
Decision-making accelerates because governance processes align with initiative maturity rather than forcing every project through the same stage gates.
Most importantly, the organization becomes capable of delivering quarterly performance while simultaneously preparing for structural market change.
An illustrative example
Consider a national retail bank pursuing digital transformation.
Incremental transformation stream
The bank launches initiatives to automate mortgage processing, deploy AI-powered customer support, digitize onboarding, enhance fraud detection, and improve mobile banking functionality.
These projects have defined business cases, measurable efficiency targets, and predictable implementation roadmaps. Governance focuses on cost reduction, service quality, compliance, and customer satisfaction.
Disruptive transformation stream
At the same time, the bank establishes a separate innovation portfolio exploring embedded finance, AI-driven financial coaching, digital identity services, blockchain-enabled settlements, and partnerships with fintech ecosystems.
These initiatives operate through multidisciplinary teams with milestone-based funding and rapid experimentation. Leadership reviews focus on validated customer demand, scalability, ecosystem positioning, and strategic fit rather than short-term profitability.
Although both streams contribute to digital transformation, they are governed differently while remaining aligned under a common strategic vision.
The result is an organization capable of improving today’s business while building tomorrow’s.
Implementing a dual operating model
Leaders seeking to establish a dual operating model should consider a structured approach.
Step 1: Segment the transformation portfolio
Classify initiatives as either incremental optimization or disruptive innovation based on strategic intent, uncertainty, and expected outcomes.
Step 2: Define separate governance models
Apply different funding mechanisms, approval processes, success metrics, and review cadences appropriate to each portfolio.
Step 3: Establish dedicated leadership accountability
Assign executive sponsors for both operational excellence and future business development while maintaining strategic alignment at board level.
Step 4: Design distinct performance measures
Measure incremental initiatives through operational KPIs and disruptive initiatives through validated learning, customer adoption, and strategic option value.
Step 5: Allocate protected investment capacity
Ring-fence funding for long-term innovation to prevent quarterly pressures from consuming future-oriented investments.
Step 6: Enable talent mobility
Allow employees to move between optimization and innovation environments, strengthening organizational learning and capability development.
Step 7: Maintain portfolio integration
Although governance differs, strategy should remain unified. Both streams must contribute to a shared vision for enterprise value creation.
Creating an enterprise that performs today while systematically building tomorrow
Digital transformation is not a single journey but a portfolio of fundamentally different challenges. Some initiatives optimize the present. Others invent the future. Attempting to govern both through one operating model often leads to compromised outcomes in each.
The dual operating model provides a pragmatic alternative. By separating incremental digital transformation from disruptive innovation, while aligning both under a common strategic direction, organizations can balance operational excellence with long-term renewal.
For leaders, this represents more than an organizational design choice. It is a strategic capability that enables resilience in an era where technology cycles accelerate, customer expectations evolve continuously, and competitive advantage becomes increasingly temporary.
Organizations that succeed will not be those that optimize the current business most effectively, nor those that innovate most aggressively in isolation. They will be those that institutionalize both capabilities simultaneously, creating an enterprise that performs today while systematically building tomorrow.
About Rowdy Bijland
Rowdy is a strategic and creative thinker. He acts as a digital business partner with the mission to support leaders, their teams and organizations, to drive digital business strategy, innovation and transformation execution, with the aim to maximize potential and to contribute to the creation of sustainable value and meaningful impact. He released his first publication “Digital Disruption: A leader’s Guide for Business Development in the Digital Age” available both as paperback and eBook in the shop. In addition, he released a digital masterclass “Leading Digital Disruption” on Udemy. He is facilitator, moderator and keynote speaker for companies and organizations. Furthermore, Rowdy offers 1:1 digital business coaching for leaders worldwide.
To connect with Rowdy, please follow him on Linkedin.
